activity
20182020
most citedA Deep-learning-based Joint Inference for Secure Spatial Modulation Receiver

2 citations · 4 across the 3 of their papers we have counts for

collaborators

5 papers

cs.IT20201 cited

Efficient Receive Beamformers for Secure Spatial Modulation against a Malicious Full-duplex Attacker with Eavesdropping Ability

Xinyi Jiang, Xiaoyu Liu, Riqing Chen +3

In this paper, we consider a new secure spatial modulation scenario with a full-duplex (FD) malicious attacker Mallory owning eavesdropping capacity, where Mallory works on FD mode…

eess.SP20201 cited

Precoding and Transmit Antenna Subarray Selection for Secure Hybrid Spatial Modulation

Feng Shu, Xiaoyu Liu, Xinyi Jiang +3

Spatial modulation (SM) is a particularly important form of multiple-input-multiple-output (MIMO). Unlike traditional MIMO, it uses both modulation symbols and antenna indices to c…

eess.SP20192 cited

A Deep-learning-based Joint Inference for Secure Spatial Modulation Receiver

Feng Shu, Lin Liu, Yumeng Zhang +5

As a green and secure wireless transmission way, secure spatial modulation (SM) is becoming a hot research area. Its basic idea is to exploit both the index of activated transmit a…

eess.SP2018

Covert Communication with A Full-Duplex Receiver Based on Channel Distribution Information

Tingzhen Xu, Ling Xu, Xiaoyu Liu +1

In this work, we consider a system of covert communication with the aid of a full-duplex (FD) receiver to enhance the performance in a more realistic scenario, i.e., only the chann…

eess.SP2018

High-performance Power Allocation Strategies for Secure Spatial Modulation

Feng Shu, Xiaoyu Liu, Guiyang Xia +3

Optimal power allocation (PA) strategies can make a significant rate improvement in secure spatial modulation (SM). Due to the lack of secrecy rate (SR) closed-form expression in s…